Spark Infotheoretic Feature Selection
This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. The implementation is based on the common theoretic framework presented by Gavin Brown. Implementations of mRMR, InfoGain, JMI and other commonly used FS filters are provided.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Spark Infotheoretic Feature Selection | 114 | 5 years ago | apache-2.0 | Scala | ||||||
| This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. The implementation is based on the common theoretic framework presented by Gavin Brown. Implementations of mRMR, InfoGain, JMI and other commonly used FS filters are provided. | ||||||||||
| Mapreduce | 29 | 8 years ago | Java | |||||||
| 清华大数据作业MapReduce处理几百个G的JSON数据 | ||||||||||
| Spark All Pairs Shortest Path | 7 | 9 years ago | 2 | apache-2.0 | Scala | |||||
| Mapr Airflow | 5 | 6 years ago | Python | |||||||
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